Remote online machine condition monitoring using advanced internet, wireless and mobile communication technologies

PENG, W., 2011. Remote online machine condition monitoring using advanced internet, wireless and mobile communication technologies. PhD, Nottingham Trent University.

[img]
Preview
Text
204000_Peng, W PhD Thesis.pdf

Download (6MB) | Preview

Abstract

A conceptual model with wireless and mobile techniques is developed in this thesis for remote real-time condition monitoring, which is applied for monitoring, diagnosing, and controlling the working conditions of machines. The model has the following major functions: data acquisition, data processing, decision making, and remote communication. The data acquisition module is built up within this model using the sensory technique and data I/O interfaces to acquire the working conditions data of a machine and extract the physical information about the machine (e.g. failure, wear, etc.) for data processing and decision making. The data processing is conducted using digital conversion and feature extraction to process the received analogue condition data and convert the data into the physical quantities of working condition of the machine for sequent fault diagnosis. A real-time fault diagnostic scheme for decision-making is applied based on digital filtering and pattern classification to real-time identify the fault symptom of the machine and provide advice for decision making for maintenance. Process control is implemented to control the operation status of the machine automatically, inform the maintenance personnel diagnostic results and alert the working conditions of the machine. Remote communication with wireless and mobile features greatly advance the machine’s condition monitoring technology with real-time fault diagnostic capacity, by providing a wireless-based platform to enable the implementation of data acquisition, real-time fault diagnosis, and decision making through the Internet, wireless, and mobile phone network.

Item Type: Thesis
Creators: Peng, W.
Date: 2011
Rights: This work is the intellectual property of the author, Wenjie Peng. You may copy up to 5% of this work for private study, or personal, non-commercial research. Any re-use of the information contained within this document should be fully referenced, quoting the author, title, university, degree level and pagination. Queries or requests for any other use, or if a more substantial copy is required, should be directed in the owner of the Intellectual Property Rights.
Divisions: Schools > School of Architecture, Design and the Built Environment
Depositing User: EPrints Services
Date Added: 09 Oct 2015 09:35
Last Modified: 09 Oct 2015 09:35
URI: http://irep.ntu.ac.uk/id/eprint/288

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year